2025
- G. Aloi, F. Frustaci, R. Gravina, A. Guerrieri, G. Pio and C. Savaglio,
“COCOWEARS: A framework for COntinuum COmputing WEARable Systems“,
Procedia Computer Science,
Volume 253, 2025, Pages 1525-1534, ISSN 1877-0509. - F. Spagnolo, B. Lal, P. Corsonello, and R. Gravina,
“A Novel Compressive Sensing Method for Secure and Energy Efficient ECG Signal Transmission Applications“, IEEE Journal of Biomedical and Health Informatics,
pp. 1–12, 2025, doi: 10.1109/JBHI.2025.3530082. - A. Pellicani, G. Pio, and M. Ceci,
“CARROT: Simultaneous prediction of anomalies from groups of correlated cryptocurrency trends”,
Expert Systems with Applications,
vol. 260, p. 125457, Jan. 2025, doi: 10.1016/j.eswa.2024.125457. - N. Petti, A. Pellicani, F. Frustaci, F. Porreca, and G. Pio,
“Robust Human Activity Prediction Through Multi-View Sensor Data Integration“, - F. Porreca, R. Gravina, A. Pellicani, N. Petti, and F. Frustaci,
“Streamlining Serial Communication Protocol Development on SoC Platforms for Code Reusability“, - I. Khan, A. Guerrieri, E. Serra, and G. Spezzano,
“A hybrid deep learning model for UWB radar-based human activity recognition”, Internet of Things,
vol. 29, p. 101458, Jan. 2025, doi: 10.1016/j.iot.2024.101458.
2024
- Stefano Polimena, Gianvito Pio, Maria Cefola, Michela Palumbo, Michelangelo Ceci, and Giovanni Attolico,
A novel random forest-based approach for the non-destructive and explainable estimation of ammonia and chlorophyll in fresh-cut rocket leaves,
Information Processing in Agriculture,
2024, ISSN 2214-3173. - B. Lal, K. Das, M. H. Conde, P. Corsonello, and R. Gravina,
“Comparative Analysis of Compressive Sensing Reconstruction Algorithms for ECG Signals”,
in 2024 International Workshop on the Theory of Computational Sensing and its Applications to Radar, Multimodal Sensing and Imaging (CoSeRa),
IEEE, Sep. 2024, pp. 71–75. doi: 10.1109/CoSeRa60846.2024.10720361. - Q. Li, F. Mangione, F. Porreca, R. Gravina, and G. Fortino,
“Development and Validation of a Proximity-based Wearable Computing Testbed for Community-oriented Wearable Systems”,
in 2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops),
IEEE, Mar. 2024, pp. 45–50. doi: 10.1109/PerComWorkshops59983.2024.10502607. - M. Riaz and R. Gravina,
“Anxiety and EEG Frontal Theta-Beta Ratio Relationship Analysis Across Personality Traits During HDR Affective Videos Experience”,
in Proceedings of the 10th International Conference on Information and Communication Technologies for Ageing Well and e-Health, SCITEPRESS – Science and Technology Publications,
2024, pp. 27–36. doi: 10.5220/0012547100003699. - I.Khan, F. Cicirelli, E. Greco, A. Guerrieri, C. Mastroianni, L. Scarcello, G. Spezzano, A. Vinci, “Leveraging distributed AI for multi-occupancy prediction in Cognitive Buildings”,
Internet of Things, - vol. 26, p. 101181, Jul. 2024, doi: 10.1016/j.iot.2024.101181.
- M. Riaz and R. Gravina,
“Wearable Sensor Systems to Detect Biomarkers of Personality Traits for Healthy Aging: A Review”,
IEEE Sensors Journal,
vol. 24, no. 17, pp. 27061–27075, Sep. 2024, doi: 10.1109/JSEN.2024.3429357. - S. Polimena, G. Pio, M. Cefola, M. Palumbo, M. Ceci, and G. Attolico,
“A novel random forest-based approach for the non-destructive and explainable estimation of ammonia and chlorophyll in fresh-cut rocket leaves”,
Information Processing in Agriculture,
Sep. 2024, doi: 10.1016/j.inpa.2024.09.002. - I. Khan, A. Guerrieri, F. Cicirelli, A. S. McGough, and G. Spezzano,
“Human-Centric Based Energy and Comfort Optimization in Cognitive Buildings: A Review”,
in 2024 IEEE Conference on Pervasive and Intelligent Computing (PICom),
Nov. 2024, pp. 98–104. doi: 10.1109/PICom64201.2024.00020. - M. B. Islam, A. Guerrieri, R. Gravina, and G. Fortino,
“A Deep Learning Based Digital Twin for Indoor Temperature Prediction in Smart Buildings”,
in 2024 IEEE Conference on Pervasive and Intelligent Computing (PICom),
Nov. 2024, pp. 83–89. doi: 10.1109/PICom64201.2024.00018. - L. Rizzo, P. Zicari, F. Cicirelli, A. Guerrieri, M. Micieli, and A. Vinci,
“A Study on Consumer-Grade EEG Headsets in BCI Applications”,
in 2024 IEEE Conference on Pervasive and Intelligent Computing (PICom),
Nov. 2024, pp. 67–74. doi: 10.1109/PICom64201.2024.00016. - M. B. Islam, A. Guerrieri, R. Gravina, and G. Fortino,
“A Meta-Survey on Intelligent Energy-Efficient Buildings”,
Big Data and Cognitive Computing,
vol. 8, no. 8, p. 83, Jul. 2024, doi: 10.3390/bdcc8080083. - I. Khan, O. Zedadra, A. Guerrieri, and G. Spezzano,
“Occupancy Prediction in IoT-Enabled Smart Buildings: Technologies, Methods, and Future Directions”,
Sensors,
vol. 24, no. 11, p. 3276, May 2024, doi: 10.3390/s24113276.
2023
- Simona Cicero, Massimo Guarascio, Antonio Guerrieri, and Simone Mungari,
A Deep Anomaly Detection System for IoT-Based Smart Buildings,
Sensors,
Volume 23, 2023, ISSN 1424-8220. - I. Khan, F. C. Delicato, E. Greco, M. Guarascio, A. Guerrieri, and G. Spezzano,
“Occupancy Prediction in Multi-Occupant IoT Environments Leveraging Federated Learning”,
in 2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech),
IEEE, Nov. 2023, pp. 0036–0043. doi: 10.1109/DASC/PiCom/CBDCom/Cy59711.2023.10361520. - I. Khan, F. C. Delicato, E. Greco, M. Guarascio, A. Guerrieri, and G. Spezzano, “Occupancy Prediction in Multi-Occupant IoT Environments Leveraging Federated Learning”,
in 2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech),
Nov. 2023, pp. 0036–0043. doi: 10.1109/DASC/PiCom/CBDCom/Cy59711.2023.10361520.